Package com.rapidminer.operator.postprocessing

Operators for post processing, usually used for models.

See:
          Description

Class Summary
GeneratePredictionOperator Generates predictions from confidence attributes.
GeneratePredictionRankingOperator This operator will generate predictions of the second, .. n-th most probable class from the confidences attributes generated by applying a classification model.
PlattParameters A convenience class that contains the parameters of a PlattScalingModel.
PlattScaling A scaling operator, applying the original algorithm by Platt (1999) to turn confidence scores of boolean classifiers into probability estimates.
PlattScalingModel A model that contains a boolean classifier and a scaling operation that turns confidence scores into probability estimates.
SimpleUncertainPredictionsTransformation This operator sets all predictions which do not have a higher confidence than the specified one to "unknown" (missing value).
Threshold A threshold for soft2crisp classifying.
ThresholdApplier This operator applies the given threshold to an example set and maps a soft prediction to crisp values.
ThresholdCreator This operator creates a user defined threshold for crisp classifying based on prediction confidences.
ThresholdFinder This operator finds the best threshold for crisp classifying based on user defined costs.
 

Package com.rapidminer.operator.postprocessing Description

Operators for post processing, usually used for models.



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